Search Results - (( cross validation study algorithm ) OR ( _ identification using algorithm ))*

Search alternatives:

Refine Results
  1. 1
    A graphical user interface application for continuous-time identification of dynamical system

    A graphical user interface application for continuous-time identification of dynamical system by Rahmat, Mohd. Fua'ad, Omar, Rosli, Jamaluddin, Hishamuddin

    Published 2002
    “…A validation process had been implemented using cross validation process. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  2. 2
    Cross-layer architecture of impulse-based ultra wideband to support the integration of Radio Frequency Identification and wireless sensor network infrastructures

    Cross-layer architecture of impulse-based ultra wideband to support the integration of Radio Frequency Identification and wireless sensor network infrastructures by Mohammed Saeed, Jawad, Widad, Ismail, Ahmad, Badrul Hisham

    Published 2012
    “…Many research studies have recently proposed the use of Impulse Radio based ultra-wideband technology for passive and active radio frequency identification systems as well as for wireless sensor networks because of its numerous advantages. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  3. 3
    Discrete-time system identification using genetic algorithm with single parent-based mating technique

    Discrete-time system identification using genetic algorithm with single parent-based mating technique by Zainuddin, Farah Ayiesya

    Published 2024
    “…In these cases, the SPM technique consistently outperformed traditional GA, demonstrating improved model fit and predictive accuracy. Rigorous validation tests, including autocorrelation and cross-correlation functions, confirmed the reliability and robustness of these models. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  4. 4
    Evaluation of K-fold value in breast cancer diagnosis technique using SVM and bio-inspired optimization algorithm (JA-ABC5)

    Evaluation of K-fold value in breast cancer diagnosis technique using SVM and bio-inspired optimization algorithm (JA-ABC5) by Nadarajan, Ravindran, Sulaiman, Noorazliza

    Published 2023
    “…The purpose of this study is to determine how K-fold cross validation affects breast cancer classification performance. …”
    Get full text
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  5. 5
    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak

    Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak by Dak, Ahmad Yusri

    Published 2019
    “…Finally, both algorithms are validated against the findings in various literatures. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  6. 6
    Complex word identification model for lexical simplification in the Malay language for non-native speakers

    Complex word identification model for lexical simplification in the Malay language for non-native speakers by Salehah, Omar

    Published 2023
    “…This corpus is divided into training and testing data using k-fold cross-validation, where k=10. A series of tests were performed to ensure the best model was produced, including feature selection, generation of an improved stemmer algorithm, data imbalances, and classifier testing. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  7. 7
    Comparison of fully automated and semi-automated methods for species identification

    Comparison of fully automated and semi-automated methods for species identification by Kalafi, Elham Yousef, Anuar, M.K., Sakharkar, Meena Kishore, Dhillon, Sarinder Kaur

    Published 2018
    “…In order to assist taxonomists, many methods and algorithms have been proposed to develop semi-automated and fully automated systems for species identification. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  8. 8
    Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems

    Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems by Shengwen, Geng, Osman, Mohd Hafeez

    Published 2025
    “…The key performance indicators such as accuracy, precision, recall, and F1 score are used to evaluate the model, and the robustness is guaranteed by cross-validation. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  9. 9
    Performance evaluation of hospital site suitability using multilayer perceptron MLP and analytical hierarchy process AHP models in Malacca, Malaysia

    Performance evaluation of hospital site suitability using multilayer perceptron MLP and analytical hierarchy process AHP models in Malacca, Malaysia by Almansi, Khaled Yousef, Mohamed Shariff, Abdul Rashid, Kalantar, Bahareh, Abdullah, Ahmad Fikri, Syed Ismail, Sharifah Norkhadijah, Ueda, Naonori

    Published 2022
    “…Identification of the most significant conditioning parameters that impact the choice of an appropriate hospital site was accomplished using correlation-based feature selection (CFS) with a search algorithm (greedy stepwise). …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  10. 10
    Firearm recognition based on whole firing pin impression image via backpropagation neural network

    Firearm recognition based on whole firing pin impression image via backpropagation neural network by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…A two-layer 6-7-5 connections BPNN of sigmoid/linear transfer functions with ‘trainlm’ algorithm was found to yield the best classification result using cross-validation, where 96% of the images were correctly classified according to the pistols used. …”
    Get full text
    Get full text
    Book Chapter
    Save to List
    Saved in:
  11. 11
    Artificial neural network implementation on firearm recognition system with respect to ring firing pin impression image

    Artificial neural network implementation on firearm recognition system with respect to ring firing pin impression image by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…A two-layer 6-7-5 connections BPNN of sigmoid/sigmoid transfer functions with ‘trainscg’ algorithm was found to yield the best classification result using cross-validation, where 98% of the images were correctly classified according to the pistols used. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  12. 12
    Firearm recognition based on whole firing pin impression image via backpropagation neural network

    Firearm recognition based on whole firing pin impression image via backpropagation neural network by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Liong, Choong-Yeun, Jemain, Abdul Aziz

    Published 2011
    “…A two-layer 6-7-5 connections BPNN of sigmoid/linear transfer function with ‘trainlm’ algorithm was found to yield the best classification result using cross-validation, where 96% of the images were correctly classified according to the pistols used. …”
    Get full text
    Get full text
    Get full text
    Proceeding Paper
    Save to List
    Saved in:
  13. 13
    Nanoparticles enhanced laser-induced breakdown spectroscopy for characterisation and discrimination of gemstones

    Nanoparticles enhanced laser-induced breakdown spectroscopy for characterisation and discrimination of gemstones by Al-Juboori, Haider, Haider, Zhaib, Hang, Wei, Roslan, Sufi

    Published 2024
    “…The PLS-DA model was trained and validated using a 4- fold cross-validation approach. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  14. 14
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  15. 15
    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network

    Identification of autism subtypes based on wavelet coherence of BOLD FMRI signals using convolutional neural network by Al-Hiyali, M.I., Yahya, N., Faye, I., Hussein, A.F.

    Published 2021
    “…The dynamic FC patterns of wavelet coherence scalogram represent phase synchronization between the pairs of BOLD signals. Classification algorithms are developed using CNN and the wavelet coherence scalograms for binary and multi-class identification were trained and tested using cross-validation and leave-one-out techniques. …”
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  16. 16
    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease

    Modelling the yield loss of oil palm due to Ganoderma Basal Stem Rot disease by Assis Kamu

    Published 2016
    “…The best single model from the best-subset selection algorithm was chosen based on eight criteria, namely Akaike Information Criterion (AIC), Finite Prediction Error (FPE), Generalised Cross Validation (GCV), Hannan- Quinn (HQ), RICE, SCHWARZ, sigma square (SGMASQ) and SHIBATA. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  17. 17
    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease

    Modelling the yield loss of oil palm due to ganoderma basal stem rot disease by Assis bin Kamu

    Published 2016
    “…The best single model from the best-subset selection algorithm was chosen based on eight criteria, namely Akaike Information Criterion (AIC), Finite Prediction Error (FPE), Generalised Cross Validation (GCV), Hannan­Quinn (HQ), RICE, SCHWARZ, sigma square (SGMASQ) and SHIBATA. …”
    Get full text
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:
  18. 18
    Hospital site suitability assessment using three machine learning approaches: evidence from the Gaza strip in Palestine

    Hospital site suitability assessment using three machine learning approaches: evidence from the Gaza strip in Palestine by Almansi, Khaled Yousef, Mohamed Shariff, Abdul Rashid, Abdullah, Ahmad Fikri, Syed Ismail, Sharifah Norkhadijah

    Published 2021
    “…The results of the predicted sites were validated using CFS cross-validation and the receiver operating characteristic (ROC) curve metrics. …”
    Get full text
    Get full text
    Get full text
    Article
    Save to List
    Saved in:
  19. 19
    Identification of debris flow initiation zones using topographic model and airborne laser scanning data

    Identification of debris flow initiation zones using topographic model and airborne laser scanning data by Lay, Usman Salihu, Pradhan, Biswajeet

    Published 2017
    “…To achieve this, the data set was divided into two, 70% (840) for the training dataset and 30% (360) for validation. The best model was selected based on the model performance using the generalized cross validation (GCV) and the receiver operating characteristic (ROC) curve/area under curve (AUC) values. …”
    Get full text
    Get full text
    Get full text
    Conference or Workshop Item
    Save to List
    Saved in:
  20. 20
    New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz

    New techniques incorporating computational intelligence based for voltage stability evaluation and improvement in power system / Nur Fadilah Ab. Aziz by Ab. Aziz, Nur Fadilah

    Published 2014
    “…Another new hybrid algorithm that used Evolutionary Programming (EP) termed as Evolutionary Support Vector Machine (ESVM) was also developed for comparative study. …”
    Get full text
    Get full text
    Thesis
    Save to List
    Saved in:

Search Tools: